Reliability and validity of the new VikingSlice software for computed tomography body composition analysis
Reliability and validity of the new VikingSlice software for computed tomography body composition analysis
复制标题
DOI：
10.1038/s41430-018-0110-5
复制
发表时间：
2019-01-01
影响因子：
4.7
通讯作者：
Frokjaer, Jens Brondum
中科院分区：
文献类型：
--
作者：
Ozola-Zalite, Manta;Mark, Esben Bolvig;Frokjaer, Jens Brondum
背景/目的通过计算机断层扫描（CT）进行的身体成分评估越来越多地用于各种患者群体的诊断和预后目的。本研究的目的是比较一个新的内部开发的分割软件VikingSlice对商业软件（SliceOMatic）的可靠性和有效性进行量化的脂肪组织和骨骼肌横截面积（CSAh. Subject/Methods 50腹部CT集慢性胰腺炎患者进行了分析（平均年龄49，范围27-84岁; 38名男性）。采用两种软件测量标准Hounsfield单位阈值定义，评估第4腰椎水平软组织CSA。VikingSlice的分析包括自动分割感兴趣的区域，随后进行手动校正。SliceOMatic分析包括每个区域的手动分割。同一研究者使用两种程序测量CSA。通过比较两名独立研究者的结果，评估了使用VikingSlice进行CSA测量的观察者间可靠性。结果VikingSlice的组内相关系数（ICC）为3.4- 15.4%，组内相关系数（ICC）为0.979-0.999，Jaccard指数为0.68-0.98。SliceOmatic和VikingSlice测量的有效性较高（CV 1.6- 10.2%，ICC 0.950-0.997）。这些发现得到了Bland-Altman图的支持。可靠性研究的平均差异较小，软组织间隔的平均值范围为-2.29 cm（2）至1.56 cm（2）;两种软件的平均差值为-1.28 ~0.31 cm 2。内部开发软件VikingSlice是快速的，并显示出良好的可靠性，在其估计脂肪组织和骨骼的实用性方面与商业软件相当肌肉CSA。
Background/objectives Body composition assessment by computed tomography (CT) is increasingly used for diagnostic and prognostic purposes in various patient groups. This study aimed to compare the reliability and validity of a newly in-house developed segmentation software VikingSlice against a commercial software (SliceOMatic) for quantification of adipose tissue and skeletal muscle cross-sectional areas (CSA).Subjects/methods Fifty abdominal CT sets from chronic pancreatitis patients were analyzed (mean age 49, range 27-84 years; 38 males). Soft tissue CSAs at level of 4th lumbar vertebra were assessed by measuring standard Hounsfield unit threshold definitions with both softwares. Analysis with VikingSlice included automatic segmentation of interested region with subsequent manual corrections. Analysis with SliceOMatic included manual segmentation of each area. Same investigator measured CSAs using both programs. Inter-observer reliability of CSAs measurements with VikingSlice were assessed by comparing results from two independent investigators. Measurements were compared using the intra-class correlation coefficient (ICC), coefficient of variation (CV), Jaccard index and Bland-Altman analyses.Results The inter-observer reliability of VikingSlice was excellent (CV 3.4-15.4%, ICC 0.979-0.999, Jaccard index 0.68-0.98). Validity was high (CV 1.6-10.2%, ICC 0.950-0.997) for measurements by SliceOmatic and VikingSlice. The findings were supported in the Bland-Altman plots. The reliability study had small average differences with means of soft tissue compartments in range -2.29 cm(2 )to 1.56 cm(2); average differences between both softwares were -1.28 cm(2) to 0.31 cm(2).Conclusions The in-house developed software VikingSlice was fast and showed good reliability that is comparable with commercial software in its utility to estimate adipose tissue and skeletal muscle CSAs.